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相关概念视频

Thematic Layering in GIS01:30

Thematic Layering in GIS

36
In the past, planning projects such as schools or public facilities required extensive manual effort to gather and compile data. Information such as property boundaries, soil characteristics, road networks, zoning regulations, and flood zones had to be sourced individually from courthouses, utility providers, and registry offices. Assembling these datasets into a coherent format often took several months, delaying project timelines.The introduction of Geographic Information Systems (GIS)...
36
Design Example: Alignment of a Road Line Using GIS01:17

Design Example: Alignment of a Road Line Using GIS

48
The alignment of a road line using Geographic Information Systems (GIS) is a critical process in civil engineering, combining advanced technology with practical decision-making. This methodology begins with the collection of geospatial data, including information on land cover, geomorphology, drainage patterns, slope, and contour details. Such data is typically acquired through satellite imagery and GIS tools, offering a comprehensive understanding of the terrain.Once the data is gathered, it...
48
Manipulation and Analysis01:21

Manipulation and Analysis

23
GIS manipulation and analysis functions are vital for decision-making and planning. These activities range from data retrieval tasks, such as selecting information based on specific criteria, to advanced analytical techniques that address complex spatial problems.One critical GIS analysis method is overlaying, which combines multiple data layers to examine impacts. For example, overlaying a river-dammed lake boundary with road networks can identify affected infrastructure. Another common...
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Selected Data About Geographic Locations01:25

Selected Data About Geographic Locations

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Geographic Information Systems (GIS) rely on two core types of data: spatial data and attribute data.Spatial DataSpatial data defines the physical location of features within a coordinate system, typically expressed in terms of latitude and longitude. It provides precise positioning for elements like roads, rivers, or buildings.Attribute DataAttribute data complements spatial data by adding descriptive information about these features. For example, a road's spatial data includes its start and...
27
Introduction to GIS01:28

Introduction to GIS

65
Geographic Information Systems (GIS) are tools for storing, analyzing, and displaying spatial data alongside related attributes. Unlike traditional information systems that address general queries, GIS incorporates spatial components, enabling users to answer "where" and "how far." For example, GIS can process housing data linked to geographic locations like zip codes, allowing insights into population density or housing distribution through thematic maps.GIS integrates technologies such as...
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Levels of Use of a GIS01:29

Levels of Use of a GIS

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Geographic Information Systems (GIS) operate across three levels of application, each representing an increasing degree of complexity: data management, analysis, and prediction. These levels reflect the expanding functionality and versatility of GIS technology in handling spatial data for diverse purposes.Data ManagementAt its foundational level, GIS serves as a tool for data management, enabling the input, storage, retrieval, and organization of spatial data. This level is often employed in...
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通过NGSI-LD丰富重塑智能城市

Víctor González1, Laura Martín1, Juan Ramón Santana1

  • 1Network Planning and Mobile Communications Laboratory, Universidad de Cantabria, 39005 Santander, Spain.

Sensors (Basel, Switzerland)
|March 28, 2024
PubMed
概括

这项研究利用像NGSI-LD这样的语义信息模型,增强了智能城市的数据处理. 先进的技术提高了数据的理解和链接,有利于以公民为中心的倡议和公共服务.

科学领域:

  • 计算机科学 计算机科学
  • 城市信息学 城市信息学
  • 数据科学数据科学数据科学

背景情况:

  • 物联网 (IoT) 数据和开放数据门户的扩散为公共和私营部门提供了巨大的潜力.
  • 语义信息模型,如NGSI-LD,通过丰富和链接来增强数据价值,利用固有的上下文信息.
  • 先进的数据处理技术对于协调和分析这些复杂的数据集和数据流至关重要.

研究的目的:

  • 定义和开发先进的数据处理技术,在智能城市生态系统中协调数据集和数据流.
  • 探索数据丰富和链接技术的潜力,以改变智慧城市的数据利用.
  • 专注于以公民为中心的倡议,并通过实际例子展示这些技术的有效性.

主要方法:

  • 使用基于链接数据建模和语义学的结构化方法.
  • 开发一个数据丰富工具链框架,以NGSI-LD为中心.
  • 展示实体转换以说明数据处理能力.

主要成果:

  • 证明了基于NGSI-LD的数据丰富和链接技术的有效性.
  • 揭示了重塑智能城市应用数据利用的潜力,特别是针对以公民为中心的倡议.
  • 提供了实体转型的具体例子,突出了改进的数据处理.
关键词:
数据丰富的数据丰富.处理数据的数据处理.数据的可理解性数据的可理解性链接数据链接数据链接语义注释 语义注释 语义注释智慧城市的智慧城市

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结论:

  • 拟议的数据处理技术显著改善了智能城市环境中的数据理解.
  • 这些发现支持通过增强语义数据利用来推进智能城市倡议.
  • 这项工作为未来研究语义数据和智能城市生态系统之间的协同作用奠定了基础.